Vijay Patidar
Lead Data ScientistAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Scientist | IIT Kharagpur | Forecasting & Regression Modeling | Price Elasticity | Power BI | Time Series | CPG & Retail Analytics | Python, SQL, ML, DL, NLP, Sentiment Analysis
I’m a Data Scientist with a Master’s degree from IIT Kharagpur and hands-on experience in forecasting, causal modeling, and price elasticity optimization. I specialize in time series modeling, demand planning, trade promotion optimization (TPO), and business dashboarding—primarily for CPG and retail domains. I’ve built end-to-end models using Python, Power BI, SQL, and ML frameworks like ARIMA, Prophet, XGBoost, and RNN. I’ve also deployed ML solutions using Flask and performed contribution analysis using causal modeling approaches. I enjoy solving real-world business problems and delivering impact through data-driven decision-making.
Indian Institute of Technology, Kharagpur
Master of Technology - MTech, Engineering/Industrial Management
August 1, 2022 – April 1, 2024
University of Agricultural Sciences, Bangalore
Bachelor of Technology - BTech, Agricultural Engineering
January 1, 2018 – January 1, 2022
NorthLight Analytic Partners Inc
Data Scientist
June 1, 2024 – Present
India · Remote
SHYAM METALICS AND ENERGY LIMITED
Business Analyst Intern
July 1, 2023 – September 1, 2023
Kolkata · On-site
YHills
Data Scientist Intern
May 1, 2023 – July 1, 2023
India · Remote
Cultural Fit Analysis
The candidate has a background in agricultural engineering, followed by a master's in engineering/industrial management, and internships in data science. This shows adaptability and a drive to transition into the data science field. The experience with different types of ML models (classification, regression) and tools (NLP, PowerBI, AWS) indicates a breadth of technical exposure. However, the overall experience is limited to internships and a recent Data Scientist role, which might require more mentorship in a Lead Data Scientist position. The target role 'Lead Data Scientist' might be ambitious given the limited professional experience (less than a year post-master's).
Soft Skills & Operational Fit
The candidate's resume indicates experience in developing and deploying machine learning models, which suggests an ability to work on practical data science problems. The internship descriptions imply a focus on delivering tangible results (e.g., 'less error and high accuracy', 'interactive dashboard'). However, without specific project details or behavioral assessment data, it is difficult to fully assess soft skills like teamwork, leadership, or communication beyond what is inferred from project descriptions.